Breaking the Silos: Building a Secure Foundation for Government AI

The federal mandate for AI integration is an active operational requirement, but rushing to deploy advanced algorithms within a fragmented legacy IT infrastructure creates profound systemic risks, data leakage vectors, and governance vulnerabilities.

Agencies, both at the federal level and in state and local government, carry the burden of data silos, legacy hardware, and a highly distributed workforce, which combine to create severe risk profiles — such as the accidental exposure of personally identifiable information (PII) and protected health information (PHI).

Learning Objectives:

• Identify and understand the elements of institutional oversight required by OMB memorandum M-25-21 and the NIST AI Risk Management Framework
• Build a plan for IT and data architecture modernization
• Determine where you can introduce low-risk AI capabilities and services to your workforce